Machine learning and radiomics for predicting efficacy of programmed cell death protein 1 inhibitor for small cell lung cancer: A multicenter cohort study

Pulin Li; Ling Huang; Rui Han; Min Tang; Guanghe Fei; Daxiong Zeng; Ran Wang

doi:10.1002/ctm2.1673

Clinical and Translational Medicine ›› 2024, Vol. 14 ›› Issue (6) : e1673 DOI: 10.1002/ctm2.1673

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Machine learning and radiomics for predicting efficacy of programmed cell death protein 1 inhibitor for small cell lung cancer: A multicenter cohort study

Pulin Li ¹
, Ling Huang ²
, Rui Han ¹
, Min Tang ¹
, Guanghe Fei ¹^,^†
, Daxiong Zeng ³^,^†
, Ran Wang ¹^,^†

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Pulin Li, Ling Huang, Rui Han, Min Tang, Guanghe Fei, Daxiong Zeng, Ran Wang. Machine learning and radiomics for predicting efficacy of programmed cell death protein 1 inhibitor for small cell lung cancer: A multicenter cohort study. Clinical and Translational Medicine, 2024, 14(6): e1673 DOI:10.1002/ctm2.1673

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2024 The Authors. Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics